1 research outputs found
Usage of analytic hierarchy process for steganographic inserts detection in images
This article presents the method of steganography detection, which is formed
by replacing the least significant bit (LSB). Detection is performed by
dividing the image into layers and making an analysis of zero-layer of adjacent
bits for every bit. First-layer and second-layer are analyzed too. Hierarchies
analysis method is used for making decision if current bit is changed.
Weighting coefficients as part of the analytic hierarchy process are formed on
the values of bits. Then a matrix of corrupted pixels is generated.
Visualization of matrix with corrupted pixels allows to determine size,
location and presence of the embedded message. Computer experiment was
performed. Message was embedded in a bounded rectangular area of the image.
This method demonstrated efficiency even at low filling container, less than
10\%. Widespread statistical methods are unable to detect this steganographic
insert. The location and size of the embedded message can be determined with an
error which is not exceeding to five pixels